We study a loss system to forecast the demand for capacity based on the forecast demand for service and a specified service level. A little-used property of the Erlang loss formula allows the linear transformation of demand for service into demand for capacity. Next, given the forecast demand for capacity, we approximate a long run optimal capacity expansion policy by optimizing over successive...

one of the most important parameters in evaluating a watermarking algorithm is its capacity. generally, watermarking capacity is expressed by bits per pixel (bpp) unit measure. but this measure does not show what the side effects would be on image quality, watermark robustness and capacity. in this paper we propose a three dimensional measure named capacity surface which shows the effects of ca...

Abstract The shipbuilding industry has been drastically affected by demand fluctuations. Currently, it faces intense global competition and a crisis because of an imbalance between supply demand. This is caused excess capacity. Organisation for Economic Co-operation Development considered adjusting the capacity to reduce based on forecast. On other hand, forecast complex issue influenced indire...

the real world is full of uncertainties and parameters such as demand cannot be determined exactly. in this case, using crisp (exact) values and statistical methods due to absence of sufficient information, seems unwise. so in this paper, an approach is presented for using fuzzy numbers in continues review policy related decision-making. in this supply chain, there are two enterprises, a and b ...